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A First Assessment of Canopy Cover Loss in Germany’s Forests after the 2018–2020 Drought Years

Thonfeld, Frank and Gessner, Ursula and Holzwarth, Stefanie and Kriese, Jennifer and Da Ponte, Emmanuel and Huth, Juliane and Kuenzer, Claudia (2022) A First Assessment of Canopy Cover Loss in Germany’s Forests after the 2018–2020 Drought Years. Remote Sensing, 14 (3), pp. 1-19. Multidisciplinary Digital Publishing Institute (MDPI). doi: 10.3390/rs14030562. ISSN 2072-4292.

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Official URL: http://dx.doi.org/10.3390/rs14030562

Abstract

Central Europe was hit by several unusually strong periods of drought and heat between 2018 and 2020. These droughts affected forest ecosystems. Cascading effects with bark beetle infestations in spruce stands were fatal to vast forest areas in Germany. We present the first assessment of canopy cover loss in Germany for the period of January 2018–April 2021. Our approach makes use of dense Sentinel-2 and Landsat-8 time-series data. We computed the disturbance index (DI) from the tasseled cap components brightness, greenness, and wetness. Using quantiles, we generated the monthly DI composites and calculated anomalies in a reference period (2017). After applying a threshold, we were able to determine the date of canopy cover loss for all pixels where anomalies were recorded until the end of the observation period. From the resulting map, we calculated the canopy cover loss statistics for administrative entities. Our results show a canopy cover loss of 501,000 ha for Germany, with large regional differences. The losses were largest in central Germany and reached up to two-thirds of coniferous forest loss in some districts. Our map has high spatial (10 m) and temporal (monthly) resolution and can be updated at any time.

Item URL in elib:https://elib.dlr.de/148512/
Document Type:Article
Title:A First Assessment of Canopy Cover Loss in Germany’s Forests after the 2018–2020 Drought Years
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Thonfeld, FrankUNSPECIFIEDhttps://orcid.org/0000-0002-3371-7206UNSPECIFIED
Gessner, UrsulaUNSPECIFIEDhttps://orcid.org/0000-0002-8221-2554UNSPECIFIED
Holzwarth, StefanieUNSPECIFIEDhttps://orcid.org/0000-0001-7364-7006UNSPECIFIED
Kriese, JenniferUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Da Ponte, EmmanuelUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Huth, JulianeUNSPECIFIEDhttps://orcid.org/0000-0002-1453-6629UNSPECIFIED
Kuenzer, ClaudiaUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Date:2022
Journal or Publication Title:Remote Sensing
Refereed publication:Yes
Open Access:Yes
Gold Open Access:Yes
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:14
DOI:10.3390/rs14030562
Page Range:pp. 1-19
Publisher:Multidisciplinary Digital Publishing Institute (MDPI)
ISSN:2072-4292
Status:Published
Keywords:forest; canopy cover loss; drought; Sentinel-2; Landsat-8; disturbance index; time series
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Earth Observation
DLR - Research theme (Project):R - Remote Sensing and Geo Research
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center > Land Surface Dynamics
Deposited By: Thonfeld, Dr. Frank
Deposited On:01 Feb 2022 09:16
Last Modified:28 Jul 2025 10:28

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